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Iambic Therapeutics Jumps 17% After-Hours as Wall Street Turns Bullish on Its AI-Powered Drug Discovery P
Iambic Therapeutics, Inc. (NASDAQ: IAM) shares jumped 16.82% to $15.63 in after-hours trading on Monday after Wall Street Analysts started coverage of the clinical-stage life sciences and technology company with bullish views. Wall Street Analysts Initiate Coverage on Iambic With Buy Ratings BofA
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Jefferies initiates Iambic stock with buy rating on AI platform By Investing.com
Investing.com - Jefferies initiated coverage on Iambic Therapeutics (NASDAQ:IAM) with a buy rating and a price target of $35.00. The firm cited the company's AI platform's potential to scale and offset research and development costs as a key driver for the rating. Iambic Therapeutics is a
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Iambic Therapeutics shares jumped 16.82% in after-hours trading following bullish analyst coverage from BofA Securities and Jefferies. Both firms highlighted the company's proprietary AI models and automated chemistry platform that could reduce drug development timelines and R&D costs while advancing promising candidates like IAM1363 for HER2-positive breast cancer brain metastases.
Iambic Therapeutics (NASDAQ: IAM) shares surged 16.82% to $15.63 in after-hours trading on Monday after two major Wall Street analysts initiated coverage with buy ratings on the clinical-stage biotechnology company. BofA Securities set a $30 price target while Jefferies established a $35 price target, signaling strong confidence in the company's AI-powered drug discovery platform
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. The stock closed regular trading at $13.38, up 31.56% from its previous close of $10.17, though it remains below its 52-week high of $251
.BofA Securities highlighted Iambic Therapeutics' distinctive approach to AI drug discovery, emphasizing how the company uses proprietary AI models combined with automated chemistry to design cancer drugs rather than simply identifying disease targets. This methodology could significantly shorten drug development timelines and reduce costs, setting Iambic apart from other AI-driven drug developers in the market
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. The company's platform, which it calls molecular superintelligence, integrates proprietary AI technologies with automated chemistry platform and biology experimentation to accelerate drug development1
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Source: Benzinga
Jefferies pointed to early clinical data from IAM1363, a HER2 tyrosine kinase inhibitor, which has demonstrated encouraging activity in heavily pretreated patients with HER2-positive breast cancer brain metastases. The drug candidate advanced to clinical development in approximately two years, showcasing the efficiency of Iambic's AI drug discovery approach
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. However, Jefferies noted that IAM1363's superiority over newer HER2 tyrosine kinase inhibitors remains unproven, though the firm sees upside potential from replacing tucatinib in HER2CLIMB-like regimens or combination with Zani2
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Jefferies initiates coverage with particular emphasis on the AI-powered drug discovery platform's potential to scale and offset R&D costs. At Iambic's current market capitalization of approximately $600 million, Jefferies modeled risk-adjusted peak sales of approximately $870 million for IAM1363, $180 million for IAM217, $260 million for IAMC1, and $250 million for the AI platform itself
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. The company operates a drug development-as-a-service model that supports both internal pipeline development and external partnerships, creating multiple revenue streams from its technology2
.Iambic Therapeutics announced that Co-Founder and CEO Tom Miller will participate in the Jefferies Global Healthcare Conference scheduled for November 16-19 in London. Miller will join a panel discussion on AI in drug discovery on November 18 at 2:00 p.m. GMT
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. Miller emphasized that the opportunity for AI in drug discovery lies in integrating insights across chemistry, biology and clinical development to improve the probability of developing successful medicines1
. The company's preclinical pipeline includes AI technologies such as Enchant and NeuralPLexer, designed to enhance drug development and clinical development processes1
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